Most organizations already have more data than they know what to do with. The hard part is rarely collecting more. It’s knowing what you have, trusting it, and putting it to work.

That’s what this blog is about.

What I’ll write about

• Data management fundamentals: modeling, quality, governance, and the unglamorous work that makes everything else possible.
• AI in practice: where tools like large language models genuinely help with data work, and where they create new problems.
• Lessons from the field: what works for real teams with real constraints, not just what looks good in a vendor demo.

Who it’s for

Analysts, engineers, managers, and anyone who’s been handed a messy spreadsheet and told to “make it make sense.”

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